Contents 1. Introduction 2. The Four Pillars of Success in Analytics 3. Analytics Sophistication 4. Data Science Practice 4.1. DS-BuDAI® Methodology 4...
In some applications, using the standard precision in your programming language of choice, may not be enough, and can lead to disastrous errors. In some cases, you work w...
I recently had another client conversation about optimizing their data warehouse and Business Intelligence (BI) environment. The client had lots of pride in their existin...
Introduction This post is designed show the internal changes of an Artificial Neural Network (ANN/NN), it shows the outputs of the neurons from the beginning of a Backpro...
Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, ...
This is Google’s dictionary on machine learning. Very interesting, with more than 100 entries, but clearly biased towards what Google thinks machine learning is. Th...
Here is a guest post from Rowena Bonnette on How Biometric Authentication works – Biometrics are the ultimate security protocol. Using security coding that is...
This article was written by Jon Krohn. At untapt, all of our models involve Natural Language Processing (NLP) in one way or another. Our algorithms consider the natural...
Note: This is the second post of the series Data Tagging in Medical Imaging. You can find the first post here. In the previous post of the series, Data Tagging in Medica...
Introduction: In this post, we learn about building a basic search engine or document retrieval system using Vector space model. This use case is widely used in informati...